Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BANASZEK Norbert | 75 |
| 3 | LARSSON David | 73 |
| 4 | HUITEMA Jasper | 66 |
| 6 | VAN DER HORST Dennis | 62 |
| 7 | WIŚNIEWSKI Szymon | 68 |
| 8 | MURIAS Jakub | 65 |
| 10 | INKSTER Eric | 73 |
| 12 | GÓRAK Dominik | 72 |
| 13 | COLEMAN Zak | 70 |
| 14 | DABSKI Patryk | 70 |
| 15 | DUCKERT Roman | 68 |
| 16 | BAKKER Björn | 79 |
| 19 | LAŠINIS Venantas | 69 |